Estimating Energy Consumption of Transport Modes in China Using DEA

Lin, Wei; Chen, Bin; Xie, Lina; Pan, Haoran

doi:10.3390/su7044225

Cited by 51 publications

(24 citation statements)

References 43 publications

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“…Transportation is the shifting of goods by truck, rail, road, and sea and is reasoned as an important indicator for economic development [1]. Transport has two main parts.…”

Section: Introductionmentioning

confidence: 99%

Impact of Transport Cost and Travel Time on Trade under China-Pakistan Economic Corridor (CPEC)

Alam

Baig

2019

Journal of Advanced Transportation

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China is the second biggest economy in the world and almost 40% of its trade in 2016 is transported through the South China Sea. China needs a small, secure, and low-cost path to trade with Europe and the Middle East and China-Pakistan Economic Corridor (CPEC) is a feasible solution to this requirement. This research analyzes the effect of CPEC on trade in terms of transport cost and travel time. In addition, the study compares the existing routes and the new CPEC route. The research methodology consists of qualitative and descriptive statistical methods. The variables (transport cost and travel time) are calculated and compared for both the existing route and new CPEC route. The results show that transport cost for 40-foot container between Kashgar and destination ports in the Middle East is decreased by about $1450 dollars and for destination ports in Europe is decreased by $1350 dollars. Additionally, travel time is decreased by 21 to 24 days for destination ports in the Middle East and 21 days for destination ports in Europe. The distance from Kashgar to destination ports in the Middle East and Europe is decreased by 11,000 to 13,000 km.

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“…Transportation is the shifting of goods by truck, rail, road, and sea and is reasoned as an important indicator for economic development [1]. Transport has two main parts.…”

Section: Introductionmentioning

confidence: 99%

Impact of Transport Cost and Travel Time on Trade under China-Pakistan Economic Corridor (CPEC)

Alam

Baig

2019

Journal of Advanced Transportation

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“…Additionally, non-radial DEA models have been presented and have been used by Zhou and Ang [9] for measuring the energy efficiency performance of 21 OECD countries.Different DEA models have already been proposed for energy and environment, as well as energy-environment efficiency evaluation. Regarding transport EEE evaluation, some authors have used traditional DEA models as a support tool for evaluating eco-efficiency for the different types of bioethanol transportation [12] and to evaluate the relative energy efficiency of rail, road, aviation and water transport [13]. Some models with particular modifications have been used for transport EEE analysis, such as radial and non-radial DEA models [8] taken from Zhou and Ang [9], a virtual frontier benevolent DEA cross efficiency model [14], a three-stage virtual frontier DEA model [15], a slack-based measure (SBM) DEA model [16,17], a non-radial SBM-DEA model [18-20], a parallel DEA approach [6], and parallel SBM-DEA model [21].…”

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confidence: 99%

Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach

Djordjević

Krmac

2019

Energies

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Transport is recognized as a major energy consumer and environment pollutant. Recently scholars have paid considerable attention to the evaluation of transport energy and environmental efficiency (EEE). In this paper, the non-radial Data Envelopment Analysis (DEA) model was employed to evaluate EEE on a macro level-i.e., of European road, rail and air sectors. The evaluation was conducted under the joint production framework, which considers energy and non-energy inputs, and desirable and undesirable outputs for the last ten years period. To rank decision-making units and check the aptness of this non-radial DEA model in transport EEE evaluation, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method has been proposed. An empirical study has been conducted for as many European countries as possible, depending on availability of data. Based on the non-radial DEA model, it could be said that the level of EEE is improving for the road sector, while many evaluated countries have low EEE for the rail transport sector. Additionally, results have indicated that the TOPSIS method is more suitable than the non-radial DEA model in transport EEE evaluation and for identification of best practices.Energies 2019, 12, 2907 The Aim and the Scope of the PaperThe aim of this paper is twofold. The first is to evaluate and analyze the changes of EEE of European road, air, and rail transport sectors, where the methodology for evaluating EEE is based on a non-radial DEA model proposed by Wu et al. [6] for 2006-2008, 2010, 2012, and 2014-2016, using the available data for the European countries which represent DMUs. The second aim of the paper is the introduction of the TOPSIS method in the evaluation of EEE, where the TOPSIS method is used for the ranking of DMUs. The evaluation of transport EEE has been done under the joint production framework, using non-energy inputs (labor and transport assets) and energy input (energy consumption) to produce desirable outputs (volume of passenger and freight transport) and undesirable output (GHG emissions). Aside from other widely used non-radial DEA models such as Slack-based models, Russell measure models, and Directional distance function, in this paper, the non-radial DEA model has been chosen due to its ability to use different non-proportional adjustments, with decision maker specified weights assigned to each efficiency score, and because of its ability to proportionally decrease the amounts of energy inputs and undesirable outputs simultaneously as much as possible [5,6].The main contributions of this study are: (i) a newly systematic literature review in the field of transport EEE evaluation, (ii) a new definition of transport EEE, (iii) the evaluation of EEE with an extended set of used inputs, (iv) the evaluation of EEE of road, air, and rail transport sectors of European countries and their changing tendencies in terms of the EEE, (v) use of non-radial DEA and introduction of the TOPSIS method through DMUs ranking in the evaluation of transport EEE, ...

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“…Sun and Stuebs [44] used DEA to measure firm productivity in the U.S. chemical industry. Similarly, Lin et al [45] applied DEA to estimate energy consumption related to transport modes in China. Each organization can apply suitable weights to attain a set of performance measures and present decision makers' preferences by using DEA [46].…”

Section: Proposed Data Envelopment Analysis Methodsmentioning

confidence: 99%

An Integrated Approach to Evaluating and Selecting Green Logistics Providers for Sustainable Development

Wang

Luo

et al. 2017

Sustainability

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Balancing economic development with environmental protection has become a critical concern worldwide. However, along with the highly competitively global marketplace, economic factors are known to directly affect an enterprise's development and its future business. Therefore, selecting the right partner for sustainable collaboration that will lead to improved business performance and reduce carbon dioxide (CO 2 ) emissions is a significant problem for many enterprises. In addition, investigating the economic impact of companies that are charged to protect the environment is becoming increasingly problematic. Thus, the purpose of this paper is to evaluate the comparative efficiencies of 16 Green Logistics Providers (GLPs) in the USA from 2012 to 2015, and the projected four-year period of 2016-2019, by means of an integrated approach that combines the grey forecasting model GM (1,1) and Data Envelopment Analysis (DEA). The results show that there are two GLPs, Knight Transportation and the Union Pacific Corporation, that possess a higher efficiency level and are achieving positive technical change. However, this study also determined that Hyster-Yale Materials Handling and CSX Corporation did not reach an acceptable efficiency score; therefore, they should improve technical efficiency to mitigate environmental concerns. This completely integrative methodology has the potential to provide the best decision-making strategies for finding suitable collaborative partners who are able to meet the sustainability requirements in most economic and environmental areas.

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Estimating Energy Consumption of Transport Modes in China Using DEA

Cited by 51 publications

References 43 publications

Impact of Transport Cost and Travel Time on Trade under China-Pakistan Economic Corridor (CPEC)

Impact of Transport Cost and Travel Time on Trade under China-Pakistan Economic Corridor (CPEC)

Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach

An Integrated Approach to Evaluating and Selecting Green Logistics Providers for Sustainable Development

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